Interesting, maybe I'm just in my own filter bubble, but I never see that suggestion. After sampling roughly 15 articles found searching for things like "how to use inception net", etc I didnt find a single article suggesting you take a pre trained model based on image net and use it without modification on a completely different dataset. I am genuinely curious, do you have any examples of this?

Also, it may seem minor, but as someone who has been working professionally with neural networks since 2013 or so, there is a huge difference between saying "what inception net doesn't see" and "what inception net trained on image net doesn't see". I may grant that the author is simplifying for an inexperienced audience, but if that were the case, they should at least point out how such problems can be avoided, and have been avoided for at least 5 or 6 years now, if not longer.